mint Lesion screenshot with PET evaluation, SUV, customized response criteria

Customizable reading templates for therapy response assessment

mint Lesion offers customizable reading templates for therapy response assessment in clinical care and research. Adapt parameters, define lesion categories, and evaluate responses. Track key measurements like diameter, volume, SUV, and ADC, ensuring compliance with required minimum sizes. Automate sum calculations for response determination and integrate clinical data such as ctDNA or PSA values. Document multiple lesions, compare absolute and relative changes over time, and visualize trends with interactive charts. Generate comprehensive reports with tables and graphs for a clear longitudinal overview.

Key features:

  • Easily customizable parameters
    • Questions for manual response evaluation
    • Lesion categories (e.g., target lesions, non-target lesions)
    • System-derived lesion states (e.g., normalized for lymph nodes)
    • Key measurement values (e.g., longest diameter, short axis, volume, SUV, ADC, etc.), including required minimum size for each lesion category
    • Sum of measurements for response determination (e.g., sum of diameter or sum of volume)
    • Clinical data (e.g., ctDNA or PSA values)
  • Ability to document the count of multiple (non-target and new) lesions
  • Automatic calculations of absolute and relative differences to baseline, previous timepoint and nadir
  • Interactive charts displaying all relevant values over time, including clinical data, with dynamic filtering options
  • Comprehensive reports including tables and graphs for a fast and clear longitudinal overview

Related Resources

Related Resources

Interdisciplinarity in healthcare

Insights into the BZKF BORN-Project – Interview with Dr. Mandy Wahlbuhl-Becker

The Bavarian Oncological Radiology Network (BORN) is enhancing cancer diagnostics in Bavaria through standardized imaging and structured reporting.  …

Two female medical researchers looking at computer screen

RACOON-RESCUE is Advancing Pediatric Non-Hodgkin Lymphoma Care

Pediatric Non-Hodgkin Lymphoma (NHL) is the fourth most common tumor in children and adolescents, yet its radiological methods lack standardization,…

University Hospital Tübingen: Neuro-Oncological Imaging with Deep Learning Reconstruction (DLR)

A recent study conducted by the University Hospital of Tübingen investigated the potential of deep learning reconstruction (DLR) in magnetic resonance…